FacilityQuest just published over 60 workplace time utilization analytics. A sampling of the tables and graphs–with anonymized data from a real survey–can be downloaded here. This collection demonstrates a good range of essential analytics, and many more variations are possible.
The FacilityQuest analytical capabilities have been helping customers answer workplace utilization questions for years. But this new sampler represents an important milestone that shows how easy it is now to extract great value from observation studies data. No need to export, no wrangling with spreadsheets and pivot tables, no uploading into other programs at all. It’s not even necessary to wait for the project to end to see what trends are developing! Of course all of those “no need to” capabilities are still available. We just think they won’t be used much anymore.
The fifteen analytics in this set are pulled from over 60 “basic takeaways,” organized within collections such as Occupancy, By Department, By Group Size, By Primary Activity, and By Space Type. And we continue to build out each of these collections, slicing and dicing by different variables to create powerful yet “push button easy” results.
These analytics take advantage of a rich data set gathered through the FacilityQuest software and mobile data gathering apps, to answer questions such as:
- What is our overall workplace utilization, filtered by building, floor, or department?
- What are our occupancy patterns over the course of the day, or of the week, or by each day of the study?
- If we differentiate “no occupancy” from “temporarily unoccupied” (signs of life), what patterns do we see?
- What goes on in a space when it is occupied? How do activities such as “meeting” or “focus” or “phone” show up for various space types?
- How many people are in this space (and how does that compare to the capacity of the space)?
Take a look. And note that what you won’t see (in a document prepared for print) is that any analytic can also be filtered interactively by any variable, making it easy to dive deeper into the data. And of course any chart type you see can be swapped out with any other chart type. We’re happy to give tours.